Technoarete Transactions on Advances in Data Science and Analytics (TTADSA)

Technoarete Transactions on Advances in Data Science and Analytics (TTADSA) is an International peer reviewed, open access journal aiming to publish high quality original research, review articles, short communications, case reports, technical notes and editorials. We offer a wide range of knowledge on new trends and advances that contribute significantly to further the scientific knowledge related data science, research and innovations. The journal provides latest trends and developments in various fields of research on computing science, statistics and artificial intelligence, pattern recognition and big data manipulation, Data Analytics has emerged as an important technology in the areas of Finance, Biostatistics, Numerical Simulations Economics, Forensic Science, Geographic information system, Healthcare systems. The goal of this journal is to provide a platform for authors all over the world to promote, share, and discuss various new issues and developments and contribute through their research and scholarly outputs without any subscription fee. The journal creates resources e for students, Professionals, academicians, scholars and aims to publish the most complete and reliable information on discoveries and current developments in the field of data science and analytics . Technoarete Transactions on Advances in Data Science and Analytics (TTADSA) is a double-blinded peer-reviewed open access International Journal published by Technoarete Publishing recent days has seen steep rise in the adoption of Data Science in various sectors such as business sector, social sciences, public sector and life sciences.

Technoarete Transactions on Advances in Data Science and Analytics (TTADSA) is :-

• International, Peer-Reviewed, Open Access, Refereed, scientific data mining, data wrangling, data visualization, data capturing, data creation, data storage and retrieval, data analysis and retrieval, data analysis and optimization, crowdsourcing, scalable computing, real time decision making, intelligent data processing, social-graph analysis, Data Science , Online , Half-Yearly Journal

• UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2583-2956, Established: 2022,
• Provides Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE